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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Towards Federated Learning at Scale: System Design · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1902.01046/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1902.01046/feed.xml" rel="self" type="application/rss+xml" /><item><title>Towards Federated Learning at Scale: System Design — HN submission</title><link>https://news.ycombinator.com/item?id=19912942</link><guid isPermaLink="false">urn:hackerpapers:submission:1902.01046:19912942</guid><pubDate>Tue, 14 May 2019 19:21:17 GMT</pubDate><description>&lt;p&gt;Google&amp;#x27;s recent paper on scaling Federated Learning&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;4 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1902.01046/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Towards Federated Learning at Scale: System Design — mentioned by gavinuhma</title><link>https://news.ycombinator.com/item?id=19236238</link><guid isPermaLink="false">urn:hackerpapers:mention:1902.01046:19236238</guid><pubDate>Sun, 24 Feb 2019 00:08:11 GMT</pubDate><description>&lt;p&gt;100! This recent paper from Google combines FL with secure multi-party computation for “secure aggregation” to prevent the aggregate server from even seeing the gradients https://export.arxiv.org/abs/1902.01046&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1902.01046/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item><item><title>Towards Federated Learning at Scale: System Design — HN submission</title><link>https://news.ycombinator.com/item?id=19089694</link><guid isPermaLink="false">urn:hackerpapers:submission:1902.01046:19089694</guid><pubDate>Tue, 05 Feb 2019 20:49:59 GMT</pubDate><description>&lt;p&gt;Towards Federated Learning at Scale&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;7 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1902.01046/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
